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Data Labeling in Machine Learning with Python

You're reading from  Data Labeling in Machine Learning with Python

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Pages 398 pages
Edition 1st Edition
Languages
Author (1):
Vijaya Kumar Suda Vijaya Kumar Suda
Profile icon Vijaya Kumar Suda

Table of Contents (18) Chapters

Preface Part 1: Labeling Tabular Data
Chapter 1: Exploring Data for Machine Learning Chapter 2: Labeling Data for Classification Chapter 3: Labeling Data for Regression Part 2: Labeling Image Data
Chapter 4: Exploring Image Data Chapter 5: Labeling Image Data Using Rules Chapter 6: Labeling Image Data Using Data Augmentation Part 3: Labeling Text, Audio, and Video Data
Chapter 7: Labeling Text Data Chapter 8: Exploring Video Data Chapter 9: Labeling Video Data Chapter 10: Exploring Audio Data Chapter 11: Labeling Audio Data Chapter 12: Hands-On Exploring Data Labeling Tools Index Other Books You May Enjoy

Technical requirements

Let’s understand the prerequisites needed for each tool we’ll discuss for you to follow along in this chapter.

Azure Machine Learning data labeling

Azure Machine Learning provides labeling tools to rapidly prepare data for machine learning projects. Let’s create an Azure subscription and Azure Machine Learning workspace as follows:

  • Azure subscription: You can create a free Azure subscription at https://azure.microsoft.com/en-us/free.
  • Azure Machine Learning workspace: Once your Azure subscription is ready, you can create an Azure Machine Learning workspace in that subscription.

Label Studio

Install the label-studio Python library using your Python editor:

%pip install label-studio

Then, start the Label Studio development server using the following shell command:

!label-studio start

pyOpenAnnotate

pyOpenAnnotate is a simple tool that helps to label and annotate images and videos using OpenCV.

Let...

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